{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "#### distribution 单变量分布图\n",
    "- seaborn.distplot(): axes-level\n",
    "1.hist\n",
    "2.kde\n",
    "3.rug"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [],
   "source": [
    "sns.set(\n",
    "    context='talk',  # paper, notebook, talk, poster\n",
    "    style='darkgrid',  # darkgrid, whitegrid, dark, white, ticks\n",
    "    palette='muted',  # deep,muted,bright,pastel,dark,colorblind,hls,husl,cm\n",
    "    rc={\n",
    "        'figure.figsize': [8, 6]\n",
    "    }\n",
    ")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "outputs": [],
   "source": [
    "df1 = pd.read_csv('./input/athlete_events.csv')\n",
    "df2 = pd.read_csv('./input/noc_regions.csv')\n",
    "df = pd.merge(\n",
    "    df1, df2,\n",
    "    on='NOC',\n",
    "    how='left',\n",
    "    validate='m:1')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 148480 entries, 0 to 271115\n",
      "Data columns (total 17 columns):\n",
      " #   Column  Non-Null Count   Dtype  \n",
      "---  ------  --------------   -----  \n",
      " 0   ID      148480 non-null  int64  \n",
      " 1   Name    148480 non-null  object \n",
      " 2   Sex     148480 non-null  object \n",
      " 3   Age     148095 non-null  float64\n",
      " 4   Height  140921 non-null  float64\n",
      " 5   Weight  140486 non-null  float64\n",
      " 6   Team    148480 non-null  object \n",
      " 7   NOC     148480 non-null  object \n",
      " 8   Games   148480 non-null  object \n",
      " 9   Year    148480 non-null  int64  \n",
      " 10  Season  148480 non-null  object \n",
      " 11  City    148480 non-null  object \n",
      " 12  Sport   148480 non-null  object \n",
      " 13  Event   148480 non-null  object \n",
      " 14  Medal   20324 non-null   object \n",
      " 15  region  148199 non-null  object \n",
      " 16  notes   2228 non-null    object \n",
      "dtypes: float64(3), int64(2), object(12)\n",
      "memory usage: 20.4+ MB\n"
     ]
    }
   ],
   "source": [
    "df = df.query('Year>=1984')\n",
    "df.drop_duplicates(['ID', 'Games'])\n",
    "df.info()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "outputs": [
    {
     "data": {
      "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7fcb67feaad0>"
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 576x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(\n",
    "    a=df['Weight'],\n",
    "    bins=None,\n",
    "    hist=True,\n",
    "    kde=True,  # 密度图\n",
    "    rug=True) # 密集度"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1296x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18, 6))\n",
    "ax = sns.distplot(\n",
    "    a=df['Weight'],\n",
    "    bins=None,\n",
    "    hist=True,\n",
    "    kde=False)\n",
    "ax.xaxis.set_major_locator(\n",
    "    plt.MultipleLocator(5)\n",
    ")\n",
    "ax.tick_params(rotation=90,axis='x')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1296x432 with 1 Axes>",
      "image/png": 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zfWrMZrNGjhzpU/PNPpI0atQob01fmUzS4MGRfsctFrOkzs8FQn/3H4gZj8IOJpNJEdZmRUb6353UW2Fh7dnhg/To64xwS5gsFnPAZg7YDqbAXrdffwV+h6+/1/39PgWyf1e/RoJ9hwirWY89FqHISE+XNQ/79w1mDEz/gZjBDsExgx0enRnsEBwz2CE4ZoTCDoGYYTJ1fa5Xd2g8+eSTGjJkSKfn6uvrJUlRUVE+x202myTJ6XR2WdNR1/HQz/r6+oDUAAAAAACA0PbAT9D0eNr/hszURWwSFhbWbY3H4/H+bV0ga/rC45Hq6hr9jnckSJ2dC4T+7j8QMx6FHaxWs5qaW9XY2NLp+d7o+JvoB+nR1xkt7ja53Q923d317w+RkeGSJ7DX7ddfgd/h6+91f79Pgezf1a+RYN+hyWaWy9Wk5ubWLmse9u8bzBiY/gMxgx2CYwY7PDoz2CE4ZrBDcMwIhR0CMWPIkKgu79K4vwTga+x2uyT53R3R8bPdbvfeUdHZHRQul8vbIyoqqtOahoYGb4/e1AAAAAAAgND2wIHGqFGjZDabdf36dZ/jHT/HxsbKZrPJ4XCoqqrKp6ampkZOp9P7TIzY2Fi/mtbWVt28ebPbmo55nT1bAwAAAAAAhJ4HDjQiIiKUmJiokydPej9aIkknTpyQ3W7Xc889J0lKTk7WqVOn1Nzc7FNjNps1ZcoUb82ZM2dUW1vrrSktLZXL5dK0adMktX/ryeXLl1VRUeGtuXLliioqKrw1AAAAAAAgtD1woCFJy5Yt07lz57Rq1SqdPn1a27dv1969e7VkyRJFRrZ/XiYnJ0d37txRbm6uTp06pX379unDDz/U/PnzNXz4cEnSggULZLValZmZqc8++0xHjhzR22+/renTp2vixImSpIyMDI0ePVo5OTkqKSnRp59+qsWLF2vs2LFKT08PxDoAAAAAACDIBSTQmDp1qnbs2KGrV69q+fLl+u1vf6u1a9dq8eLF3pq4uDgVFxfL5XJp5cqV2rdvn7KysvRP//RP3pqYmBgdOHBATzzxhNasWaNt27YpLS1N27Zt89ZYrVbt27dPEyZM0Pr16/Wv//qvSkhI0N69e2WxPPAzTgEAAAAAgAH0OQF49dVX9eqrr/odnzVrlmbNmtXtaxMTE3X48OFua8aNG6f9+/d3WzNs2DB9/PHHPV4rAAAAAAAITQG5QwMAAAAAAGAgEWgAAAAAAADDIdAAAAAAAACGQ6ABAAAAAAAMh0ADAAAAAAAYDoEGAAAAAAAwHAINAAAAAABgOAQaAAAAAADAcAg0AAAAAACA4RBoAAAAAAAAwyHQAAAAAAAAhkOgAQAAAAAADIdAAwAAAAAAGA6BBgAAAAAAMBwCDQAAAAAAYDgEGgAAAAAAwHAINAAAAAAAgOEQaAAAAAAAAMMh0AAAAAAAAIZDoAEAAAAAAAyHQAMAAAAAABgOgQYAAAAAADAcy8O+AAAA+sL+mEUWi7nbGpPJJEmyWruvu1/307+tzSO3u61frgcAAOBRRKABADCUcItJF280qrGptcuaCGuzJKmpueuaB9HX/hHhYRo/IqJfrgUAAOBRRaABADCcZnebblXf6/J8ZGS4JKmxsaVf5ve1/7AnB/XLdQAAADzKeIYGAAAAAAAwHAINAAAAAABgOAQaAAAAAADAcAg0AAAAAACA4QQs0HC73Xr++ec1fvx4n38SEhK8NaWlpXrttdcUHx+vl156ScXFxX59Lly4oIULFyohIUEpKSnaunWrWlp8H7p27do1LV26VImJiUpKStJ7770np9MZqFUAAAAAAECQC9i3nFRWVqqpqUmbN2/W008/7T0eFtaemZw7d05Lly5Venq63nrrLZ09e1b5+fnyeDzKzs6WJFVVVSkzM1MJCQnavn27rl69qm3btsnpdGrDhg2SpLq6Oi1atEhDhw7V5s2bVVNTo4KCAt2+fVu7d+8O1DoAAAAAACCIBSzQKC8vV1hYmGbPnq3IyEi/84WFhZowYYIKCgokSdOnT5fb7dauXbu0cOFCWa1WFRUVyW63a+fOnbJarUpNTdWgQYO0ceNGLVmyRA6HQ4cOHdLdu3d17NgxRUdHS5IcDodyc3N1/vx5xcfHB2olAAAAAAAQpAL2kZOLFy9q1KhRnYYZTU1N+vLLL/Xyyy/7HJ89e7bu3r2rc+fOSZLKyso0Y8YMWa1Wb01aWppaW1tVWlrqrZk8ebI3zJCklJQU2Ww2nT59OlDrAAAAAACAIBawOzQuXbokq9Wq7OxsnTt3ThaLRenp6Vq7dq1u376tlpYWxcbG+rxm9OjRkto/rhIfH69bt2751cTExCgqKkqVlZWSpIqKCs2dO9enxmw2a+TIkd6avjKZpMGD/YMYi8UsqfNzgdDf/QdixqOwg8lkUoS1WZGR4fc9o+OjVw/So68zwi1hsljMAZs5YDuYAnvdfv0V+B2+/l739/sUyP5d/RoJ9h1682s72HaIsJr12GMRioz09HrGo/D7qxFmsENwzGCHR2cGOwTHDHYIjhmhsEMgZphMXZ8L2B0a5eXlun79ulJTU1VUVKR/+Id/0Keffqply5apvr5ekhQVFeXzGpvNJklyOp1d1nTUdTz0s76+vscaAAAAAAAQ2gJ2h8a2bds0ePBgjR8/XpI0efJkDRkyRG+//bbKysoktf9Nd2fCwsLk8Xi6rPF4PN6/DettTV94PFJdXaPf8Y4EqbNzgdDf/QdixqOwg9VqVlNzqxobWzo93xsdf4v7ID36OqPF3Sa3+8Guu7v+/SEyMlzyBPa6/for8Dt8/b3u7/cpkP27+jUS7Dv05td2sO3QZDPL5WpSc3Nrr2c8Cr+/GmEGOwTHDHZ4dGawQ3DMYIfgmBEKOwRixpAhUV3epRGwQGPKlCl+x1588UWfn795B0XHz3a73XvXRWd3WbhcLtntdkntd3B0VtPQ0KARI0bc17UDAAAAAABjCchHTmpqanTkyBHduHHD5/i9e/ckSUOGDJHZbNb169d9znf8HBsbK5vNJofDoaqqKr/eTqfT+2yN2NhYv5rW1lbdvHnT7/kbAAAAAAAgNAUk0DCZTNqwYYMOHjzoc/z48eMym82aNm2aEhMTdfLkSe9HSyTpxIkTstvteu655yRJycnJOnXqlJqbm31qzGaz9w6Q5ORknTlzRrW1td6a0tJSuVwuTZs2LRDrAAAAAACAIBeQj5zExMTo9ddf1y9+8QtFRUUpMTFRZ8+e1a5du/T6669r9OjRWrZsmbKysrRq1Sr98Ic/1B//+Eft3btXeXl53q96zcnJUUlJiXJzc7Vo0SJdu3ZNW7du1fz58zV8+HBJ0oIFC3Tw4EFlZmZq+fLlqq2tVUFBgaZPn66JEycGYh0AAAAAABDkAvYMjXfeeUcOh0NHjx5VUVGRHA6HVq5cqZycHEnS1KlTtWPHDhUWFmr58uVyOBxau3at3nzzTW+PuLg4FRcXKz8/XytXrlR0dLSysrK0YsUKb01MTIwOHDigDz74QGvWrJHNZlNaWprWrl0bqFUAAAAAAECQC1igER4ersWLF2vx4sVd1syaNUuzZs3qtk9iYqIOHz7cbc24ceO0f//++7lMAAAAAAAQAgLyDA0AAAAAAICBRKABAAAAAAAMh0ADAAAAAAAYDoEGAAAAAAAwHAINAAAAAABgOAQaAAAAAADAcAg0AAAAAACA4RBoAAAAAAAAw7E87AvAo8ViCVNYmKlPrzGZ2uutVnN/XFKP/S0Ws/p4yQAAAACAfkaggQEVFmbSpa+a1NTS1uvXRFibJUlNza39ck099XdER8hEogEAAAAAQYVAAwOuqaVNt6rv9bo+MjJcktTY2NIv19NT/5jHw/tlLgAAAADg/vEMDQAAAAAAYDgEGgAAAAAAwHAINAAAAAAAgOEQaAAAAAAAAMMh0AAAAAAAAIZDoAEAAAAAAAyHQAMAAAAAABiO5WFfAAAAoc7+mEUWi7lPrzGZTJIkq7Vvrwv0jLY2j9zutn67BgAAgPtFoAEAQD8Lt5h08UajGptae/2aCGuzJKmpufev6aueZkSEh2n8iIh+mw8AAPAgCDQAABgAze423aq+1+v6yMhwSVJjY0t/XVKPM4Y9OajfZgMAADwonqEBAAAAAAAMh0ADAAAAAAAYDoEGAAAAAAAwHAINAAAAAABgODwUFAAAdOp+vm726x7mV8/ydbMAAIQ+Ag0AANCp+/m62a97WF89y9fNAgDwaCDQAAAAXerr181+3cP66lm+bhYAgEeDYQONTz/9VP/2b/+mGzduaMSIEVqyZIleeeWVh31ZA8ZiCVNYmKnHuv6+3bev/S0Ws3px2QAA3LcH/ajM1w3kx2YsljA+JgMAQB8YMtD4z//8T61Zs0ZvvPGGvve97+nzzz/XO++8o0GDBiktLe1hX96ACAsz6dJXTWpq6f4/fPr7dt++9ndER8hEogEA6EcP+lGZrxuoj82EW8L0zLcM+Z9lAAA8NIb8f86tW7cqPT1dP/3pTyVJ3/ve91RXV6ef//znj0ygIUlNLT3fBtzft/v2tX/M4+H9ch0AAHzdg3xU5usG6mMzjmhrv/UHACBUGe5rW2/cuKHr16/r5Zdf9jk+e/ZsVVRU6MaNGw/pygAAAAAAwEAx3B0aFRUVkqTY2Fif46NHj5YkVVZW6qmnnhrw6wIAALhfUZHmgD3345v68zkgZnNYv8/oj/58rS8AhAaTx+PxPOyL6ItPP/1UeXl5+uKLLzRy5Ejv8aqqKr388svatm2bMjIy+tTTYG+BV6sB/3/YZJKM9nYb8ZolrnsgGfGaJa57IBnxmiWueyCZTJIMds2SJINed5jh7lEGgEdbR7D9TYa7Q6MjfPjmQh3Hw+7j/6G6enOCXT/9RQ4AAAAAAEHPcPm03W6XJDmdTp/jDQ0NPucBAAAAAEDoMlyg0fHsjOvXr/scr6qq8jkPAAAAAP/b3p3HNXGubwO/grgrLtXaqqio7QTCJmETVNAiWuraDXFfqkWtR9RWqaee1mK1dVf0WDfAqpTSUxFXFKutouKCCkoFtQXFpSigFlDZvH9/+CavIbGFkBmTeH8/n/yRyXBfc2cgGZ5MnmGMmS+TG9Bo37492rZti4SEBI3l+/fvR4cOHdC6devntGWMMcYYY4wxxhiTisnNoQEAkydPxqeffoomTZrA19cXBw8exN69e7Fs2bLnvWmMMcYYY4wxxhiTgMld5UQlJiYGERERuHXrFqytrTFhwgQMGjToeW8WY4wxxhhjjDHGJGCyAxqMMcYYY4wxxhh7cZncHBqMMcYYY4wxxhhjPKDBGGOMMcYYY4wxk8MDGowxxhhjjDHGGDM5PKDBGGOMMcYYY4wxk8MDGowxxhhjjDHGGDM5PKDBGGOMMcYYY4wxk8MDGowxxhhjjDHGGDM5PKDBGGOMMcYYY4wxk2P5vDfAWJSVleHs2bPIyspCUVERLCws0KhRI9jY2MDBwQF169bVq+69e/dgZWUFC4v/P3ZUWlqK+Ph4ZGZmomnTpvD09ISrq6vR9iBlH7wfjKMP7oF74B4YY4wxZipu376No0eP6jze8PDwwCuvvKJ37fT0dHTq1An16tVTL8vPz8fmzZuRkZGBZs2awcPDAwMHDoRMJnuhexC7D11kREQGrWiCIiMj8e233+L+/fs6H7eyskJwcDDGjh1b7dq2trb44Ycf4OjoCADIy8vDqFGj8Pvvv6Nx48YoKytDSUkJ/Pz8sGTJEtSpU8foepCqD94PxtEH98A9cA+6ifUGLeVBBgDcuHFDo4fGjRvDxsbG4AcYAHD8+HF1D0qlEtbW1jWuaQ77wRwOWrkH7oF7MK8exOxDzB7Ky8vx9ddfIyYmBuXl5WjUqBEaNmwIIsKDBw9QVFQES0tLBAYGYvbs2ahVq1a1t7/y8UZ2djaGDx+O+/fvo1OnTnj06BGuXbsGhUKBjRs3wsrK6oXrQao+dKIXXEREBMnlclq0aBGlpaXR/fv3qby8nMrLy+nevXuUmppKCxcuJFtbW4qMjKx2fUEQKDU1VX1/2rRp5O3tTSkpKepliYmJpFQqacmSJUbZgxR98H4wjj64B+6Be9BWVlZGYWFhpFAoSBAEUiqV1KNHD+revTsplUoSBIEUCgV9+eWXVF5eXu36crlco4+srCzy9vYme3t7GjhwIPXp04dsbW3p3Xffpfv37+vdx759+yggIIDkcjkJgqBxk8vl1KdPH9q7d69etbt06ULnz59X3y8qKqIRI0ZoZCkUClqwYIHe228O+0HsHqTog3vgHrgH8+pBij7E7GHp0qXk4OBA0dHRlJ+fr/V4fn4+bd26lRwcHGjZsmXV3nYi7eON8ePHk7+/P127dk297MKFC+Tt7U2ff/55teubQw9E0vShyws/oNGrVy9avnz5P663bNky8vPzq3b9yr88zs7OFBsbq7VeZGQk+fj4VLs+kfg9EInfB++HqjH1/UDEPVQF91A1UvxdE4n/Bi3FQUZcXBwJgkAhISG0d+9e+u233+jq1auUnZ1N6enptGfPHpo6dSrJ5XLasWNHjXuYM2cOubi40I4dO+ivv/6i27dvU2RkJNnb29P69ev16sEc9oM5HLRyD9wD92BePRCZ9utrt27dqvTBSEREhN7HApW338HBgXbu3Km1XmxsLHl5eVW7vjn0QCRNH7q88JOC5ufnQ6lU/uN6Li4uyM3NrXGepaUlOnbsqLVcEIRnnpb9T6TuATB8H7wf9GPq+wHgHnThHvQjxt81AGzbtg3Tp09HUFAQmjdvrvV48+bNMXToUEybNg3bt2/XO0clOTkZU6ZM0fh6hkKhwNSpU5GYmKhXzXXr1iEoKAjLli1D3759YWtri3bt2qF9+/aws7PDm2++ieXLlyMwMBBr166tcQ8JCQmYMmUK+vfvj8aNG6Nly5YYPXo0PvzwQ8TGxupV0xz2g9Q9AIbvg3vQD/egjXvQjzm8Nhmyh6KiIp3v/ZXZ2Njg7t271d5WXRo0aKDz6zdt2rTBw4cPq13PHHoAnk8fAF/lBJ07d8auXbv+cb24uDjYw1ev8QAAIABJREFU2NjolXHq1ClkZ2eDiODt7Y0TJ05orfPzzz+jXbt2etWXogdA3D54P1Sdqe8HgHv4J9xD1Yn9dw1I/wYtxkHGjRs34Ofn94/rvfHGG8jJydEr42llZWWwt7fXWq5UKvUewDKH/WAOB63cg364B23cg37M4bXJkD3Y29tj69atKC8vf+Y65eXl2LRpE2xtbau9rSp79uzB0aNHcefOHfj5+SEhIUFrnZ9++gmdO3eudm1z6AGQro/KXvirnISEhCA4OBjZ2dnw9/eHjY0NGjVqBJlMhqKiIly9ehWJiYlISUlBeHh4tetbW1tj8eLFWLx4MerWrYsmTZrgwIED6NatGxwdHZGRkYH//ve/SExMxLx580Tt4cyZM1i5cqVeGWL3IXYPvB+4B+6Be9CX6g3ay8sLlpa63zZr+ga9Z88eFBYW4vXXX1cfZFS+OktNDjKsra2RlJQEb2/vv13vl19+0XvSt+zsbAiCgLp160KpVCIzM1Orh5SUFLRp00av+uawH6ToARC3D+6h6riHv8c9VJ05vDaJ1cPMmTMxZswY+Pv7o2fPnurjDQAoLi7G1atXcejQIdy+fRsRERF6bbunpyfi4+MRFRUFmUyG2rVro6ysDP7+/nB3d8fp06fx9ddfIz09HatXr652fXPoQao+dOGrnADqA+rTp09rjSjVqlULrq6umDhxIjw9PfWq/+DBA2RmZuLixYvIyMhAZmYmPvvsMzg4OGDbtm345ptvMHHiRIwePdpoe1D1kZGRgYsXLyIzM9PgfejqQSaTgYhMej+oZmu2sLAw2H4Qsw8pf5dUN1P7XVL1YC77QYq/6YqKCvVyQ+8HMX+XAOD8+fMYM2YMrKysqvQGXZWv2jxt9OjRyMzMxN27dzUOMjZt2qTzIKNXr17V7mHXrl345JNPEBAQ8MwBpn379mHXrl2YO3cu3n///WrVd3R0RGlpKWrVqgVra2vUrl0b169fR2xsLF577TXk5OQgOjoamzdvxrRp0zBu3Lhq92AO+0HsHqTog3vgHrgH8+pBij7E7uHatWtYu3Ytjh07hlu3bmk81qpVK3h7e+ODDz6o0lkof+f27dsax32TJk1C586dER8fj40bN2LKlCno3bu3XrWl7iEzMxMZGRkG7UHKPp7GAxr/T0ZGBq5cuQJbW1sUFhaCiNC4cWO0a9cOderUwd27d5GUlIT+/fvrXT8nJwedO3fWOL364cOHqFu3Lu7fv1+j+iqlpaXIyclR90BEuHHjBhwcHNChQ4ca1X6W1NRUZGVlwdnZ2SAZlXto1KgRUlJS0LdvXzRt2rTmG6xDdHQ0AgICDFb/6R6SkpIgk8nQokULeHl5GeSyhZWpLo1Yt25deHl51Xg/lJSUQCaTaeyH8+fPw9raGs7OzmjWrFmNt7mkpAR169ZV379+/TouXboEAHB2dtb5Hc6q2L59O3x8fNCsWTOt36Wn/6Zr4ukMXVR/1xYWNf9WX+Ue6tevj4yMDHTs2FF96S1Du3z5MtLT0w2WkZqaiuTkZFRUVMDCwgJWVlbw9/dHixYtDLC1T2RkZOD69et48OAB6tevjyZNmqBDhw5o0aKFQfaDFG/QYh4oAcDevXuxbNkyXLt2TeuyeESEtm3bYvLkyRg8eHC1a1dUVCArK0s9QKbqYfny5XB1dcWPP/6Izz//HEOHDsWnn36q96XapNwPpn6wJ2Yf3AP3wD2YVw9S9SH2+xwAPHr0SON/iAYNGtSo3vNgDj0A0vXxwg9oFBcXIyQkBElJSeplvXv3RlhYGJo0aaJelpqaiiFDhuDixYt61yciyGQyg9ZXSUhIwJYtW1BSUoLAwEAMGDAAEyZM0Pg++XvvvYcvv/xSr/r/lKHqraYZulRUVMDe3h4//fQT7OzsDFrbkPVdXFzw3Xffqb83XlxcjIkTJ+LUqVNQ/ZlZWlpi+PDhCA0NNcqMBw8eYM6cOTh//jz279+PkpISfPHFF4iPj1fXr1WrFkaOHImZM2fq1cODBw/w2Wef4cKFC1oZjx8/Vvegb4ZcLkfr1q2xYsUKODg46LWNxpCxb98+REdH4969exg0aBDGjBmDefPmYevWrep1fHx8EB4ejtq1axss46uvvsKWLVvUf9M1yUhMTMT8+fPx559/aj0mk8ng7u6Ojz/+WOdcCzXJUP2uWlhYGCSjMlM/0MjJycEff/yBoqIi9UCfjY1NjeYZ+ScFBQWQyWQGGQxVMfX9AHAPxoJ7MA7cg/EwxT7Kyspw9uxZZGVloaioCBYWFmjUqBE6duwIe3t7jQ/RDJ1hY2MDBwcHg2SYurKyMhw+fBg5OTl47bXXdH7VNTc3F3FxcQgODjZI5gs/h0Z4eDjS0tKwZMkSdOzYEQcOHMD69esxfPhwREZG1vgTRLHrA09OJf7444/h5uYGKysr/Oc//8GBAwfw22+/YcGCBVAoFEhKSsKyZcvQvn17vU71FTujT58+f/s4EWHy5MnqT9b37dtnVPWBJ/+oq/4hB4BvvvkG6enpWLhwIXx9ffHo0SPs3r0bS5YsQYsWLfDBBx8YXcbSpUtx5MgRhISEAAAWLFiAhIQEzJw5E926dUNZWRkOHjyIb7/9Fk2bNsWECROq3cPSpUuRlJQkakb9+vUxZMgQBAUFISQkRH3apCGJmbFz50588skncHV1hbW1NZYsWYJLly4hISEBc+fOhaurK86ePYv58+djw4YNmDhxotFlHD58GDNmzMDIkSPh5uaGa9euISIiAiEhIWjTpg0uXLiA2NhYjBgxAps2bdLrTBApMp4m9sGSVAdK1tbWopwp9nf0PeOqMrEPlKQ+EKtXrx7q1auH0tJSHDhwALm5uRAEAV5eXjWuXZlYGaoegCfvpatWrUJgYCBatmxpkPqVERFWr15do4x79+7ByspKffZWvXr1YGFhgfj4eGRmZqJZs2bw8PDQ+n5/TTKAJ/tAldG0aVN4enrWKAN4cnZj27Zt1fvh5MmTyMzMhIWFBZRKJeRyeY3qP52hosqQyWRwdXXVO2P16tXo168f2rdvD0Dzd8lQKmeI7ekefv31V1y+fBlt27aFn5/fM+emqAlDZxQVFeHEiRPIycnBw4cPUb9+fTRt2hR2dnZ4/fXXa7y9uuo3adIEdnZ2EARB77qRkZH49ttvn3lFMysrKwQHB2Ps2LFGnWHqCgoKMGbMGGRmZgJ48uGVQqHA8uXLNV5D/vzzT6xYscJgAxow2AVgTZSfnx9FR0drLDt37hy5ubnRoEGDqLCwUL1MLpcbXX0iogEDBtA333yjvr927VqSy+W0ZcsWjfXCw8PJ39/fKDMmT55MgiCQr68vhYaGatxmzZpFgiDQhx9+qF5mbPWJtK/v7ObmpvNazOHh4dS7d2+jzOjWrRvFxMSo7yuVSoqKitJab+3atdSzZ89q15ciQxAEOnfuHEVFRZGLiwu5ubnRypUr6e7du3pt7/PI6N+/P3399dfq+3v37iW5XE4bNmzQWG/Dhg305ptvGmVGYGAghYeHayz79ddfyc/PT33/0aNHNGrUKBo9enS160uVoRIREUHu7u4kCILOm5ubG23cuNFo65uD/Px8GjBggPo5kcvl9M4771BOTo7Gevq+n4pdX2XDhg3k6+tLXbt2peXLl9P9+/cpICBAI3fcuHFUUlJi1Bm6lJeXk1wup/T0dIPWNXSGXC7XeC+9c+eO+vlxdXUlJycnksvl9NFHH+n9HImdkZeXR4GBgeTr60tERHfv3qWRI0dqvG7I5XKaMmWK3j2InaF6Lvbv36/X9hlDxuPHj2njxo30xhtvkFKppLCwMCorK6OJEydqPE+DBw+moqIio80gItq0aRM5Ozur69nZ2ZGdnZ16P/fu3ZsOHjxodPUjIiJILpfTokWLKC0tje7fv0/l5eVUXl5O9+7do9TUVFq4cCHZ2trqPGY2hoyUlJRq3fQhRUZoaCj17NmTUlNTqbCwkLZt20aenp7UvXt3ysrKUq9X0/fRyl74AQ1nZ2c6duyY1vLTp0+To6MjjR49msrKyvR+4sWuT0Tk6OhIx48fV9/Py8sjQRDo1KlTGusdO3aMHB0djTZj+/bt5O7uTtOnT9f4x7CsrIwEQaALFy7oVVeq+pUHG5ydnbWeH6KaPUdiZzg5OWn8vjo7O1NycrLB6kuR8fRzlJeXR3PmzCFHR0dycHCgSZMm0a5du+jmzZt6bbtUGZVfNwoLC3X+vZ04cULv/SB2RuX9/HTG029qSUlJpFQqq11fqgwi8Q9kpDgYMwdiHyhJcSD23XffkZ2dHYWGhtJnn31GDg4O9O6771KPHj3o1KlTVFxcTPv27SNXV1dasmSJUWbY2dmRQqF45k0QBI37+hA7o/J76bRp08jb21vjID4xMZGUSqXe+0HsjE8++YR69OhBhw4dIiKi6dOnk4eHB+3fv5+Ki4vpr7/+ori4OFIqlRqD18aUIQiCeoAkODiYrl27ptd2Ps+MqKgosrW1pZkzZ9JXX31Frq6uNHbsWPL09KSkpCQqKSmh48ePk7e3t977QYqM7du3U5cuXSg6OpouX75MP//8MwUEBFBCQgLdvHmTEhMTacSIEWRnZ0eHDx82qvq9evWi5cuX/+N6y5Yt0/jAw5gyXF1dSS6Xk1wuVw/w6LqpHtOHFBk+Pj4UFxensezq1avk4+NDPXv2pNu3bxMRD2gYXP/+/Wnp0qU6H9u9ezfJ5XKaPn06nT59Wq8nXuz6RET+/v60du1ajWX79u2j69evayxbt24d9e3b12gziIhyc3Np/Pjx5O3tTYmJiUT05NMYQww4iF1fEASKj4+nR48eERHRuHHjtM5gIXpy9oS+n6qLnREUFERTp05V3w8JCaEvv/xSa72PP/6YBg8eXO36UmRUPogkevLJ65o1a2jw4MHqF2pnZ2f1p07GlvHmm2/SwoUL1ff37t1LgiDQpk2bNNaLjIzU+0wZsTO6deumdfbEqVOnSC6XU15ennpZTEwM+fj4VLu+VBlE4h/ISHEw9nf/HOq6GVt9IvEPlKQ4EOvTp4/Ge2lsbCzJ5XKt3MjISL1fn8TO+Oqrr8jW1pZ8fX1pxYoVFB4err4tX76cBEGgOXPmqJfpQ+wMXR8OxMbGaq0XGRmp92uH2Bldu3alHTt2qO87OTnR//73P631oqOjydvbu9r1pchQPUeJiYnUs2dPUigUNGvWLLp06ZJe2/s8Mvr06UPffvut+v6xY8dIEAT6/vvvNdb7/vvv9T47V4qMAQMGaA2Yp6SkkLe3N5WXlxPRkzNFQkJCKDAw0KjqOzk50ZEjR/5xvV9//ZUcHByqVVuqjD///JP69etHHh4e9Msvv9CJEyf+9qYPKTK6dOlCR48e1Vp+5coVcnd3p4EDB1JRUZHBBzRe+Dk0goKCMG/ePBQXF+Ott95Cly5d1I8FBAQgNzcX33zzDc6dO2eU9VUZixYtwp07dzBhwgS0bNkS/v7+6sfv3LmDH374AevWrcPUqVONNgMAXn75Zaxbtw4//vgjZs2aBV9fX8yePVvvelLWr1OnDmbOnIlPP/1UfdnCxYsXw93dXedlC40xY9q0aRg7dixGjhyJoKAgvPvuuwgNDUV+fj569OiB0tJS7N69GykpKQgPD9erBykyKmvevDmCg4MRHByM3NxcpKWlITMzE/n5+Qapb+iMESNGYO7cuUhPT0fDhg1x+PBhDBo0CCtXroSVlRVcXFxw6tQphIeHY/jw4Xptr9gZ/fr1w7p169CwYUP4+Pjg5s2bCAsLg5OTE1566SXcvHkT27ZtQ0REBEaMGKFXD1JkAEB+fn6VLlHn4uKi13XVxa4PAKtWrcKMGTNQu3ZtvX9nnmd9APjrr7/w8ssvayxr164dNm7ciKFDh2L8+PEak+YaW33gyfeGn57Lxd/fH3PmzEGbNm001pPL5bh7965RZsyePRu9e/fG7NmzkZycjAULFqjnJ6ioqMCaNWsQGBgIhUKh1/ZLlfE0S0tLnVduEAThmd+Xf94ZDx8+1LgyW+3atdG6dWut9aytrVFUVFTt+lJlAICfnx+6d++OTZs2YfPmzYiPj4cgCAgICICLiws6deqEJk2a1OiKVWJl5Obmavy9qSYK79y5s8Z6HTt21DlBtrFkZGVlac1h8frrryMvLw/Z2dno1KkTZDIZAgMDMWnSJKOq37lzZ+zatQvdunX72/Xi4uI0rjRpTBmtWrXCxo0b8fbbb+Po0aMG/d9HyoyOHTsiMTFRa46mTp06YeXKlfjggw8wadIkw82doWKwoRET9fjxY1q7di25u7vTvHnzdK4TGxur/q6jsdVXWbNmDbm7u+sccd6+fTvJ5XL68ssv1aOgxprxtOvXr9OoUaOoa9euJJfLDXKGhpj1y8vL6fLly7Rz505auHAhjR07lry9vdWn8MfGxpKtrS2FhYXp/RxJkXH27FkaNmyYxqlnT9969uxJu3fv1qu2FBm6zp4wNCkyYmJiKDAwkAYPHkxxcXFUWlpKY8eOVZ/9IQgCTZ48mUpLS40y49GjRzRhwgSNWm+99RZlZ2cTEVF8fDwplUpatGiR3j1IkUFE9M4779CsWbP+cb2QkBAaMGCA0dVXSUlJIYVCoTWvk6GIXf+dd96hL774QudjycnJZG9vTyNHjqRjx47p9X4qdn0ion79+mnMR0VEdOHCBY0zioiIFi9erPe+liKDiOjBgwf0n//8h5ydndWfvBryjEoxMwRBoA0bNlBWVhY9fvyYpk6dSqtXr9ZaLywsTO/nSOyMsWPH0siRI9WvbXPmzKGQkBCNdcrLy2ncuHE0bNgwvXoQO0PXe2lpaSnt2LGDPvroI3J2dtY4FV4fYmcMGjRIY+61zZs3kyAItGrVKo31Vq5cSX369NGrBykyevXqRfPnz9dYdujQIZLL5XTv3j31svXr1+t9JqJY9Y8cOUIKhYICAwNp48aNdPDgQTp58iSdOnWKDh06RFFRUepjTtXZ2dUlRQbRk7P3FQoF3bhxQ+8azzNjz5496nkJf/7552dmu7u781dOxKKaoFOX/Px8rdM1ja1+WVkZPX78WGv5vXv3qKCgoEa1pcyobPPmzTR8+HCN7zCbUn2V/Px80Z4jMTIKCgooOTmZ9uzZQ/Hx8XTgwAG6cuWKQWqLmXHixIkaTYplLBnPcubMGdq1a5eok+4ZMiM9PZ127dpFKSkpGoMKjx49ooqKihrXlyKjqgcytra2eh3IiF3/aatXryYPDw8qLi6uUZ3nUV/sAyUpDsTi4+NJEASaOHGi1mSjRER//PEHhYaGklwu13lqv7FkPC0pKYl8fX0pKCiIrly5YtABDbEy/Pz81P/AOjk5UY8ePUihUKj/8b148SJNmTKlRs+R2BkZGRnk6upK/v7+tH79etq5cyd169aN3nvvPVq5ciUtXryY/P39yd7enk6fPq1XD2Jn/NOHA2VlZZSenk7btm2j9evX69WD2BkJCQkkCAL5+/vTwIEDyd7enpYuXUr29va0atUqOnbsGK1YsYLs7e31ngNJiow1a9aQXC6nsLAwOnz4MMXExJCXlxeNHz+eiIguXbpEoaGhpFAo9MoQu35KSgqNGjVKPcfO0zc7OzsaOXKkxlyA+pAig+jJB65ivUdLkbF7924aOHCg1sC6yuHDh6l79+48oMEYY4xJSdeBjOqsEEMcyIhdX+XRo0e0bdu2Gk+M+7zqi32gJMWB2I4dO6hfv37qM4metmvXLoNc0UaKjKcVFhZSaGgoOTo6inJGpRgZxcXFdObMGdq6dSvNmTOH3n//fUpLSyMiop9++onc3d1rPAmv2Bk5OTk0c+ZMUiqVWv9gyeVyGjZsmN6DGVJkmMsZlUeOHKHp06fTRx99pJ6oes6cORqv4ZXPTjC2jIqKCvriiy/I1tZWvX/HjBmjPrNr9+7dFBAQoPcZeGLXJ3oySLhz5066cuUKnT17ls6cOUOXL19WX4GnoKBAY04YY8y4ePEi7d+/n/744w+djxuqh+edkZeXp/OMNX3JiIgM+yUWxhhjzDyVlpYiJycHhYWFICI0btwY7dq1Q506dUyi/ougtLQUaWlpcHV1Nbn6paWlsLS0rNFcAc8z49ChQ9i/fz+mTJmic64FU8l4+PAh6tatK+p+MHTG9evXUVBQgLKyMjRs2BDt2rVDgwYNDFJbrIwbN26gZcuWor6+SZHxLLm5ubh16xbatWuH5s2bm0RGQUEBrl27hldffRWtWrUywBaKX7+4uBghISFISkpSL+vduzfCwsLQpEkT9bLU1FQMGTIEFy9eNLqMp+sTEWQymag9SJGhYugMXV74SUEZY4yxqqpTpw46depkcvVzc3OrtX51DzTFrl8dderUEW0wQ+z6UvzTJWZGz5490bNnT9HqS5VRv359UeuLkdG2bVu0bdvWoDXFzqg8Ua0YpMh4llatWon6WidGRvPmzUUbfBGrfnh4ONLS0rBkyRJ07NgRBw4cwPr16zF8+HBERkaiRYsWRp9hDj1IlaELD2gwxhhjf8McBgPeeOMNVFRUVHn96n5qInZ9wDz2gzlkcA/GkcE9GEeGOfQgRYaY9X/++WeEhIQgICAAwJMrOHXv3h3jx4/H+PHjsXnzZjRq1Kha+VJnmEMPUmXowgMajDHG2N8wh8GAH3/8ER9++CFKS0sxY8YMWFoa9u1f7PqAeewHc8jgHowjg3swjgxz6EGKDDHr5+XloUOHDhrLnJycsGbNGowdOxZTpkzB+vXrq1zveWSYQw9SZejCAxqMMcbY3zCHwQBbW1tERUXhvffew507dzBp0iSTqg+Yx34whwzuwTgyuAfjyDCHHqTIELO+tbU1kpOT0bVrV43lSqUSCxYswIwZMzBr1iwMHTrUaDPMoQepMnQy2PSijDHGmJn6/fffycXFxaCzcktZX2XLli3UpUsXys/PN8n65rAfzCGDezCODO7BODLMoQcpMsSqHx0dTXZ2dhQWFkZnzpzRejwiIoIEQaBevXrpfYUqsTPMoQepMnThAQ3GGGOsCkx9MICIqLy8nE6cOCFahtj1icxjP5hDBvdgHBncg3FkmEMPUmSIUf/x48e0du1acnd3p3nz5ulcJzY2lpycnPT+J1rsDHPoQaoMXfiyrYwxxlgVVFRUICUlBZ07dxZlFnix65sLc9gP5pDBPRhHBvdgHBnm0IMUGWLXLyoqeuakkwUFBTh8+DAGDRpk1Bnm0INUGSo8oMEYY4wxxhhjjDGTY/G8N4AxxhhjjDHGGGOsunhAgzHGGGOMMcYYYyaHBzQYY4wxJrqQkBAIgoC7d+9qPTZr1iwIgqDzcq/FxcWws7PD9OnTq5Rz/fp1CIKA8PDwam+jIAgIDQ2t0ro5OTnVrs8YY4wxw+IBDcYYY4yJzs3NDQCQlpam9diJEydQu3ZtnDx5EhUVFRqPpaWloaKiAh4eHlXKad68ORYuXIjevXvXfKOf4aeffsJbb70lWn3GGGOMVQ0PaDDGGGNMdM8a0MjOzsatW7fQr18/FBYWIj09XePxM2fOAADc3d2rlNOgQQMMHDgQcrncAFut26lTp1BSUiJafcYYY4xVDQ9oMMYYY0x0r732Gpo1a4bU1FSN5cnJybCwsEBwcDBkMhmOHz+u8fjZs2fx8ssvw8bGRsrNZYwxxpgJ4AENxhhjjIlOJpNBqVTi/PnzGsuTk5Mhl8vRoUMHCIKA5ORk9WNEhLS0NPXZGY8fP0ZERAT69u0Le3t7dO/eHfPmzUNRUZH6Z3TNoUFEiIqKgr+/PxwdHfH2228jOTkZvXv31jlnRlRUFPz8/ODg4ID+/ftj37596sdGjBiBuLg4ANWbc4MxxhhjhscDGowxxhiThJubG+7du4fs7GwATwYaTp48qZ4fw9PTE2fOnEFpaSkA4Pfff8f9+/fh6ekJAPj3v/+NRYsWwcXFBZ999hn69u2LmJgYjBw58m+/ArJo0SIsWLAAnTt3xqxZs2BjY4Px48cjLy9Pa92EhARERkbi/fffx4wZM1BYWIiQkBD1V2GCg4Ph6uoKAFi4cCECAwMN9vwwxhhjrHosn/cGMMYYY+zFoJpHIzU1FR06dMClS5eQn5+vHrDw8PBAVFQUzpw5A09PT5w9e1a9/MSJE9i2bRvmzp2LIUOGqGv6+Phg3LhxiImJwahRo7Qyc3JysGnTJvTv3x+LFy8GAAwbNgzz58/Hpk2btNaXyWT44Ycf8MorrwAAFAoFhg8fjgMHDkChUMDb2xs7d+7E6dOnMXDgQMM+QYwxxhirFj5DgzHGGGOSsLW1RePGjdUTgyYnJ6NWrVrqMx7c3NxQq1YtnDx5EsCTCUFfeeUVtGvXDvv374dMJoOPjw8KCgrUNzs7O7Rs2RK//PKLzsxDhw6hvLwcY8aM0Vg+YcIEneu7uLioBzMAwMHBAQB0ns3BGGOMseeLz9BgjDHGmCQsLCygVCrVE4MmJyfD3t4ejRo1AgA0btwYtra2SElJAQCcO3dO/XWUa9eugYjg6+urs3bDhg11Lr969SoAoH379hrLW7RoASsrK631X3rpJY379erVAwCUlZVVpUXGGGOMSYgHNBhjjDEmGVdXV6xYsQIlJSU4ffo0goKCNB738PDA999/j4KCAmRlZWHcuHEAnkwI2rBhQ6xatUpn3bp16+pcrhqIqFOnTpV+xsKCT15ljDHGTAW/azPGGGNMMu7u7igrK8PevXvx119/qc/AUPH09MSDBw+we/duEJH68TZt2qC4uBj29vbw8vLSuBUWFqJ+/fo686ytrQFAPRGpSlFREfLz8w3fIGOMMcYkwwMajDHGGJOMQqFAgwYNEBMTg9q1a8PFxUXjcaVSCUtLS8TFxaF169bqAYlevXoBANasWaOx/sGDB/Gvf/0LO3fu1Jnn5+cHmUyGrVu3aiyPjo7G48eP9epBdRaHvj/PGGOMMcMqIg26AAACBUlEQVTgr5wwxhhjTDKWlpbo0qULjh49CldXV60zKxo2bAgHBwecPXsWgwcPVi/38fHBG2+8gYiICFy/fh1eXl64ceMGtm7ditatW6u/mlKZjY0Nhg0bhi1btiA/Px9eXl44f/489uzZA+DJVU2qq3nz5gCAlStXwsPDA127dq12DcYYY4zVHJ+hwRhjjDFJqS7fqrpca2Wqr5m4u7url8lkMqxYsQIhISG4dOkSvvrqK+zYsQP+/v7YunUrWrRo8cy82bNnY8qUKUhPT8f8+fNx+fJlrF+/HgBQu3btam9/UFAQHBwcsGHDBmzYsKHaP88YY4wxw5ARET3vjWCMMcYYE0NxcTEA7aug3L17F56enpg0aRKmTp36PDaNMcYYYzXEZ2gwxhhjzGydP38eLi4u2L17t8Zy1VdOHB0dn8dmMcYYY8wA+AwNxhhjjJmt0tJSBAQEoLCwEMOGDcOrr76KzMxM/PDDD3BycsJ3333Hl2pljDHGTBQPaDDGGGPMrP35558IDw/H0aNHkZ+fj5dffhlvvvkmJk+e/MzLvTLGGGPM+PGABmOMMcYYY4wxxkwOn2PJGGOMMcYYY4wxk8MDGowxxhhjjDHGGDM5PKDBGGOMMcYYY4wxk8MDGowxxhhjjDHGGDM5PKDBGGOMMcYYY4wxk8MDGowxxhhjjDHGGDM5/wdoleznwBaNQgAAAABJRU5ErkJggg==\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18, 6))\n",
    "ax = sns.distplot(\n",
    "    a=df['Weight'],\n",
    "    bins=20,\n",
    "    hist=True,\n",
    "    kde=False)\n",
    "ax.xaxis.set_major_locator(\n",
    "    plt.MultipleLocator(5)\n",
    ")\n",
    "ax.tick_params(rotation=90,axis='x')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1296x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18, 6))\n",
    "ax = sns.distplot(\n",
    "    a=df['Weight'],\n",
    "    bins='doane',\n",
    "    hist=True,\n",
    "    kde=False)\n",
    "ax.xaxis.set_major_locator(\n",
    "    plt.MultipleLocator(5)\n",
    ")\n",
    "ax.tick_params(rotation=90,axis='x')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% 'auto', 'fd', 'doane', 'scott', 'stone', 'rice', 'sturges', or 'sqrt'.\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1296x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18, 6))\n",
    "ax = sns.distplot(\n",
    "    a=df['Weight'],\n",
    "    bins='sturges',\n",
    "    hist=True,\n",
    "    kde=False)\n",
    "ax.xaxis.set_major_locator(\n",
    "    plt.MultipleLocator(5)\n",
    ")\n",
    "ax.tick_params(rotation=90,axis='x')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Yi/anaconda3/envs/pandas与办公自动化/lib/python3.7/site-packages/numpy/lib/histograms.py:795: RuntimeWarning: The number of bins estimated may be suboptimal.\n",
      "  bin_edges, uniform_bins = _get_bin_edges(a, bins, range, weights)\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 1296x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18, 6))\n",
    "ax = sns.distplot(\n",
    "    a=df['Weight'],\n",
    "    bins='stone',\n",
    "    hist=True,\n",
    "    kde=False)\n",
    "ax.xaxis.set_major_locator(\n",
    "    plt.MultipleLocator(5)\n",
    ")\n",
    "ax.tick_params(rotation=90,axis='x')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "name": "python3",
   "language": "python",
   "display_name": "Python 3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "3.7.6-final"
  },
  "pycharm": {
   "stem_cell": {
    "cell_type": "raw",
    "source": [],
    "metadata": {
     "collapsed": false
    }
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}